![]() ![]() This will occur in projects where building the logic – and especially building logic that can scale – requires more than just “engineering” or simple “if this then that” logic. Sometimes, depending on the specific application, part of this team will include algorithm experts. The software was very much discretely tied to predefined discrete hardware compute resources.īut today, in the age of the Cloud and Elastic Computing resources, we break engineers into more specialized, distinct teams to build software solutions, products, and services that take advantage of these Elastic Computing platforms: Back-end Engineersīack-end Engineers are typically responsible for building the logic behind the software. It made sense at the time because there were no frameworks that enabled the separation of software logic from the compute resources. Prior to the age of the Cloud, things were simpler: Engineers were expected to manage production processes and worry about scale within the software itself. ![]() The combination of AI and Cloud infrastructure is triggering a fascinating change in personnel that you cannot ignore it is changing the roles of certain engineers and creating an entirely newfound requirement that demands an entirely new engineering specialty. But this development is not just about the tech. The introduction of AI into products and services – across all sectors – is creating new capabilities at a scale that software developers could never have dreamed of just a decade ago.
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